CN115089172A - Wearable jaundice of neonate and real-time wireless monitoring devices of blood oxygen - Google Patents
Wearable jaundice of neonate and real-time wireless monitoring devices of blood oxygen Download PDFInfo
- Publication number
- CN115089172A CN115089172A CN202210753264.9A CN202210753264A CN115089172A CN 115089172 A CN115089172 A CN 115089172A CN 202210753264 A CN202210753264 A CN 202210753264A CN 115089172 A CN115089172 A CN 115089172A
- Authority
- CN
- China
- Prior art keywords
- blood oxygen
- optical signal
- light source
- signal
- bilirubin concentration
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
- A61B5/1455—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters
- A61B5/14551—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters for measuring blood gases
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
- A61B5/1455—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Physics & Mathematics (AREA)
- Biomedical Technology (AREA)
- Medical Informatics (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Engineering & Computer Science (AREA)
- Veterinary Medicine (AREA)
- Heart & Thoracic Surgery (AREA)
- Public Health (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Optics & Photonics (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The invention belongs to a wearable neonatal jaundice and blood oxygen real-time wireless monitoring device, and belongs to the field of medical instruments. A wearable real-time wireless neonatal jaundice and blood oxygen monitoring device comprises an LED light source, a photodiode, a photoelectric driving module, a signal processing module, a control module and a Bluetooth module; the LED light source comprises a bilirubin concentration detection light source and a blood oxygen saturation detection light source, wherein the bilirubin concentration detection light source is blue light and green light which flicker alternately, and the blood oxygen saturation detection light source is red light and infrared light which flicker alternately; the photodiode is used for receiving a detection optical signal reflected by the LED light source after irradiating the skin. The invention monitors the bilirubin concentration and the blood oxygen saturation of the neonate in real time by receiving and analyzing the detection optical signal reflected by the skin of the neonate, thereby realizing the high-precision detection of the bilirubin concentration and the blood oxygen saturation.
Description
Technical Field
The invention belongs to the field of medical instruments, and relates to a wearable neonatal jaundice and blood oxygen real-time wireless monitoring device.
Background
Neonatal jaundice is a physiological phenomenon that occurs in more than 80% of newborns and can be treated with a good prognosis.
Detecting neonatal jaundice essentially detects the bilirubin level in the neonate. At present, hospitals generally use bilirubin concentration measured by a venous blood test method or serum total bilirubin concentration (TSB) measured by trace blood as a main index. The detection of venous blood and trace blood belongs to invasive detection, wherein the heel blood or venous blood of a newborn is required to be taken in the detection process, and the serum bilirubin concentration is obtained by a diazo reagent method, an oxidase method, a chemical oxidation method and the like. And the existing jaundice monitoring devices can not realize blood oxygen saturation monitoring at the same time. Therefore, in view of the defects of the existing measuring method, the novel monitoring device which can detect the bilirubin concentration in the newborn in real time and has higher detection precision and also can monitor the blood oxygen saturation degree is researched, and the novel monitoring device has important significance for the healthy growth of the newborn, the improvement of the family happiness index of the newborn and the reduction of the working pressure of medical care personnel.
Disclosure of Invention
The wearable neonatal jaundice and blood oxygen real-time wireless monitoring device can monitor bilirubin concentration in a neonatal body in real time, has high detection precision and gives consideration to oxyhemoglobin saturation monitoring.
A wearable real-time wireless neonatal jaundice and blood oxygen monitoring device comprises an LED light source, a photodiode, a photoelectric driving module, a signal processing module, a control module and a Bluetooth module; the LED light source comprises a bilirubin concentration detection light source and a blood oxygen saturation detection light source, wherein the bilirubin concentration detection light source is blue light and green light which flicker alternately, and the blood oxygen saturation detection light source is red light and infrared light which flicker alternately; the photodiode is used for receiving a detection optical signal reflected by the LED light source after the LED light source irradiates the skin; the photoelectric driving module is used for controlling the opening and closing of the LED light source and the photodiode; the signal processing module is used for receiving the detection optical signal sent by the photodiode, and performing signal amplification, filtering and denoising and analog-to-digital conversion processing on the detection optical signal; and the control module is used for receiving the digital quantity detection optical signals sent by the signal processing module and transmitting the digital quantity detection optical signals to the upper computer through the Bluetooth module.
Further, after the upper computer receives the bilirubin concentration detection optical signal, the upper computer performs filtering denoising, baseline drift removal, AC-DC separation, ambient light interference removal, data processing and multiple linear regression analysis on the bilirubin concentration detection optical signal.
Further, the upper computer obtains a bilirubin concentration characteristic value through calculation, wherein: s1, filtering and denoising, namely filtering and denoising high-frequency noise in the bilirubin concentration detection optical signal by adopting moving average filtering; s2, removing baseline drift, performing polynomial fitting on the signal containing the linear trend by using a polynomial fitting method, fitting a baseline, and subtracting the fitting signal from the original signal to obtain a signal without the baseline; s3, extracting the direct current component in the bilirubin concentration detection optical signal by using an averaging method in alternating current and direct current separation, namely, solving the average value of the signal to obtain the direct current component; s4, removing the ambient light interference is to subtract the ambient light interference from the measured signal;
s5, carrying out differential processing on signals acquired by blue light and green light to obtain a bilirubin concentration characteristic value W;
and S6, performing polynomial fitting on the reference bilirubin value according to a formula to obtain the bilirubin concentration C.
Wherein epsilon is bilirubin molar absorption coefficient, L is optical path length, and epsilon and L are both constants.
Further, after the upper computer receives the blood oxygen saturation detection optical signal, the blood oxygen saturation characteristic value is calculated from the collected signal, wherein:
s1, firstly, performing moving average filtering on the blood oxygen saturation detection optical signal;
s2, acquiring the peak value and the peak valley position of the pulse wave; calculating a maximum value and a minimum value by adopting a differential threshold method, and calculating the light intensity of a previous point and a next point of the pulse; carrying out differential calculation on a plurality of continuous effective values, and taking the value of the middle point as a maximum value when two continuous differences are positive and the last three differences are negative; when two continuous differences are negative and the last three differences are positive, taking the value of the middle point as a minimum value; screening all the maximum values to obtain peak points, setting a large threshold, and if the maximum values are larger than the large threshold, determining the maximum values as the peak points, otherwise, not removing the peak points; screening all the minimum values to obtain final valley points, setting a small threshold, and determining the valley when the minimum values are smaller than the threshold, otherwise, removing the valley points; the large threshold and the small threshold are respectively in upper and lower 1/10 intervals of a maximum value interval and a minimum value interval; s3, representing the DC component and the AC component of the pulse wave by the maximum value and the minimum value on the pulse wave respectively,
wherein I irmax The peak value of pulse wave reflected by infrared light, I irmin The pulse wave trough, I, reflected back by the infrared light redmax The peak value of the pulse wave reflected by the red light, I redmin The pulse wave valley value reflected by the red light is shown, and R is a characteristic value of the blood oxygen saturation;
s4, obtaining the blood oxygen saturation according to a formula,
SPO2＝(A×R-B)×100％
where A, B is a constant and SPO2 is the oxygen saturation.
Further, the wavelength of the blue light is 460nm, the wavelength of the green light is 550nm, the wavelength of the red light is 660nm, and the wavelength of the infrared light is 880 nm.
Further, the frequency of the alternate flashing of the blue light and the green light is 200 Hz.
Further, the upper computer is a computer or a mobile phone.
Further, still include power module, power module includes two coin batteries, power module is LED light source, photodiode, photoelectric drive module, signal processing module, control module and bluetooth module power supply.
Has the advantages that:
the invention monitors the bilirubin concentration and the oxyhemoglobin saturation of the neonate in real time by receiving and analyzing the detection optical signal reflected by the skin of the neonate, and calculates the bilirubin concentration and the oxyhemoglobin saturation by using the calculated bilirubin concentration characteristic value and oxyhemoglobin saturation characteristic value, thereby realizing the detection of the bilirubin concentration and the oxyhemoglobin saturation at the same time. The device does not affect the body of the newborn when in detection, and has high detection precision. The Bluetooth is connected with a mobile phone or a computer, so that the detection data can be read more conveniently.
Drawings
Fig. 1 is a flowchart illustrating a wearable neonatal jaundice and blood oxygen real-time wireless monitoring apparatus according to the present invention;
fig. 2 is a flowchart illustrating a bilirubin concentration detection signal collecting process of the wearable neonatal jaundice and blood oxygen real-time wireless monitoring apparatus according to the present invention;
fig. 3 is a flowchart illustrating a signal acquisition process for detecting blood oxygen saturation of a wearable neonatal jaundice and blood oxygen real-time wireless monitoring device according to the present invention;
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more clearly understood, the present invention is described below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, a wearable neonatal jaundice and blood oxygen real-time wireless monitoring device comprises an LED light source, a photodiode, a photoelectric driving module, a signal processing module, a control module and a bluetooth module; the LED light source comprises jaundice detection probe and blood oxygen detection probe to all encapsulate in 3D prints soft silicon rubber shell, use PDMS glue with two probe parts and attach at the position of being surveyed. When jaundice concentration is detected, a jaundice detection probe is opened, and the device is attached to the forehead of a newborn; when the blood oxygen saturation degree is detected, the blood oxygen detection probe is opened and the device is attached to the ankle and the thumb of the neonate, and the blood oxygen detection probe comprises a red light LED and an infrared light LED which are arranged inside and emit red light and infrared light. The jaundice detection probe emits blue light and green light through a blue light LED and a green light LED which are arranged inside the jaundice detection probe, and the control module controls the blue light and the green light to flicker at the frequency of 200 Hz. The control module controls the photoelectric driving module to start the LED light source and the photodiode, when the light signal of the LED light source irradiates on the skin of a newborn, the photodiode receives the light signal reflected by the skin and transmits the light signal to the signal processing module for processing, the light signal is amplified, filtered, denoised and subjected to analog-to-digital conversion by the signal processing module and then transmitted to the control module, and the control module transmits the light signal data to the upper computer through the Bluetooth module for data calculation and display. The wavelength of the blue light is 460nm, the wavelength of the green light is 550nm, the wavelength of the red light is 660nm, and the wavelength of the infrared light is 880 nm.
Power supply: in the developed device, the battery is based on two coin cells. Because of the safer medical use of coin cells and lithium batteries.
In this embodiment, the signal processing module for jaundice detection with reference to fig. 2 performs signal processing using the AFE 4490. The controller NRF52832 of the control module is configured with an LED register of the AEE4490 to enable blue light and green light to flicker alternately at the frequency of 200Hz, after the light irradiates the forehead skin, the light reaches the photodiode on the same side through reflection, the photoelectric sensor converts the collected light signals into electric signals and transmits the electric signals to the analog front end AFE4490, and after analog-to-digital conversion processing is carried out on the electric signals by the analog front end AFE4490, blue light and green light waveform data which are obtained through spectrum absorption and represent human bilirubin signals are obtained. The data is transmitted to the main control chip NRF52832 through the SPI bus to be processed, and the blue and green light signal output oscillogram data is packaged and sent to an upper computer by the NRF 52832.
Referring to fig. 3, a signal acquisition module of the blood oxygen detection system mainly comprises an integrated signal conditioning circuit of MAX30102 and a time sequence analysis of signal acquisition; the control and Bluetooth module is mainly designed to communicate with MAX30102 and NRF52832, and a red LED, an infrared LED and a photodiode of the blood oxygen detection probe part are integrated in the MAX 30102.
Regarding the analysis and calculation of the optical signal data, since jaundice and blood oxygen saturation can be monitored by the present invention, jaundice is mainly judged by detecting bilirubin concentration. Therefore, the invention respectively carries out algorithm design aiming at two detection results and different feedback optical signal data.
And a jaundice algorithm part, wherein the main purpose of the signal processing is to calculate a characteristic value of bilirubin concentration from the collected light signals of blue light and green light and calculate the bilirubin concentration through the characteristic value.
S1, the optical signal mainly contains high-frequency noise, and in order to ensure the validity of the extracted bilirubin concentration information, it is necessary to perform filtering and denoising processing on the original optical signal. In the present embodiment, moving average filtering is used. The moving average filter is a low pass filter that averages all input signals within a fixed length time window, with a cutoff frequency that is related to the length of the window. The method has good inhibition effect on periodic interference, high smoothness and low sensitivity.
S2, removing the baseline wander, the signal will contain baseline interference signal (low frequency noise), which will adversely affect the signal analysis. And (3) performing polynomial fitting on the signal containing the linear trend by using a polynomial fitting method, fitting a base line, and subtracting the fitted signal from the original signal to obtain the optical signal with the base line removed.
And S3, the waveform of the acquired signal reflects the superposition of the hemoglobin concentration signal and the bilirubin concentration signal. The alternating current signal in the signal reflects hemoglobin concentration information, and the direct current component in the signal reflects bilirubin concentration information. The invention adopts an averaging method to extract direct current components. I.e. the average value of the signal is found to obtain the dc component.
S4, the signal is also affected by the ambient light influence during the measurement process, and the analog front end AFE4490 also saves the ambient light data during the acquisition process, and subtracts the ambient light interference from the measured signal at this step.
S5, carrying out differential processing on signals acquired by collecting blue light and green light to obtain a characteristic value W
And S6, performing polynomial fitting on the reference bilirubin value according to the following formula to obtain the bilirubin concentration C.
Wherein epsilon is the molar absorption coefficient of bilirubin, and L is the optical path length, which are both constants.
Because the influences of high-frequency noise, baseline drift, hemoglobin concentration and ambient light are removed, the obtained bilirubin concentration has higher precision and smaller error.
And a blood oxygen saturation algorithm part for extracting characteristic values for establishing a blood oxygen saturation prediction model by using the received light signals of the red light and the infrared light. In this embodiment, a MAX30102 integrated chip is adopted, and the chip is set to be in a blood oxygen mode, and the MAX30102 integrated chip has signal acquisition and signal processing functions.
S1, collecting red light and infrared light pulse wave original measurement data for a period of time by using MAX30102, and firstly carrying out moving average filtering on signals. The moving average filter is a low-pass filter, which averages all input signals in a time window of a fixed length by adding them, and the cut-off frequency of the filter depends on the length of the window.
And S2, acquiring the peak-valley position of the pulse wave, including the horizontal and vertical coordinate values. The maximum value and the minimum value are calculated by adopting a differential threshold value method, namely the light intensity of the previous point and the next point of the pulse is calculated. And carrying out differential calculation on a plurality of continuous effective values, and when two continuous differences are observed to be positive and the three subsequent differences are negative, taking the value of the middle point as the maximum value. Similar to the judgment of the maximum value, when two continuous differences are observed to be negative and then three differences appear to be positive, the value of the middle point is taken as the minimum value. Then screening all the obtained maximum values to obtain final peak points, setting a large threshold value, and if the maximum value is larger than the threshold value, determining that the peak points are the peak points, otherwise, not determining that the peak points are not the peak points to be removed; and screening all the obtained minimum values to obtain final valley points, setting a small threshold value again, and determining that the minimum value is a valley when the minimum value is smaller than the threshold value, otherwise, not determining that the valley points are to be removed. After multiple experiments, the large threshold and the small threshold are respectively in the upper 1/10 interval and the lower 1/10 interval of the maximum value interval and the minimum value interval.
S3, according to the algorithm of this embodiment, the dc component of the preprocessed pulse wave signal is required to be the ac component. The term represents the DC and AC components of the pulse wave by the maximum and minimum values on the pulse wave
In which I irmax The peak value of pulse wave reflected by infrared light, I irmin The pulse wave trough, I, reflected back by the infrared light redmax The peak value of pulse wave reflected by red light, I redmin Is the pulse wave valley value reflected by the red light, which is obtained by the algorithm of the peak-peak valley position of the pulse wave obtained in the preprocessing step,
then the blood oxygen saturation degree (SPO2) is calculated by substituting the following formula
SPO2＝(A×R-B)×100％
Where A, B is a constant derived from the calibration process.
The upper computer of the invention can also calculate the heart rate through the received reflected light signal of the red light source, and the specific algorithm is as follows: calculating the Heart Rate (Heart Rate) according to the time difference T between two adjacent peaks of the reflected light signal of the red light source in a period of time (n periods), wherein the calculation formula is as follows:
wherein peak is i The abscissa of the peak value of n periods in the period is shown, num represents the average value of the number of samples between two adjacent peaks, and Ts represents the sampling interval.
And finally, the upper computer calculates the bilirubin concentration, the blood oxygen saturation and the heart rate, and the bilirubin concentration, the blood oxygen saturation and the heart rate are displayed on a computer or a mobile phone, so that the implementation monitoring can be completed. The upper computer gives an alarm when the blood oxygen value is lower than 90% or the bilirubin concentration is higher than 205 umol/L.
Claims (9)
1. The utility model provides a wearable jaundice of neonate and real-time wireless monitoring devices of blood oxygen which characterized in that: the LED driving circuit comprises an LED light source, a photodiode, a photoelectric driving module, a signal processing module, a control module and a Bluetooth module;
the LED light source comprises a bilirubin concentration detection light source and a blood oxygen saturation detection light source, wherein the bilirubin concentration detection light source is blue light and green light which flicker alternately, and the blood oxygen saturation detection light source is red light and infrared light which flicker alternately;
the photodiode is used for receiving a bilirubin concentration detection optical signal and a blood oxygen saturation detection optical signal which are reflected after the LED light source irradiates the skin;
the photoelectric driving module is used for controlling the on-off of the LED light source and the photodiode;
the signal processing module is used for receiving the detection optical signal sent by the photodiode, and performing signal amplification, filtering and denoising and analog-to-digital conversion processing on the detection optical signal;
the control module is used for receiving the detection optical signal sent by the signal processing module and transmitting the detection optical signal to the upper computer through the Bluetooth module, and the upper computer obtains the bilirubin concentration and the oxyhemoglobin saturation through calculation.
2. The wearable neonatal jaundice and blood oxygen real-time wireless monitoring device of claim 1, wherein: after the upper computer receives the bilirubin concentration detection optical signal, the bilirubin concentration detection optical signal is sequentially processed as follows: filtering and denoising, removing baseline drift, alternating-direct separation, removing ambient light interference, processing data, and performing multiple linear regression analysis to obtain the bilirubin concentration.
3. The wearable neonatal jaundice and blood oxygen real-time wireless monitoring device of claim 2, wherein: the specific steps of the upper computer for obtaining the bilirubin concentration are as follows:
s1, filtering and denoising, wherein the high-frequency noise in the bilirubin concentration detection optical signal is filtered and denoised by adopting a moving average filter;
s2, removing baseline drift, performing polynomial fitting on the signal containing the linear trend by using a polynomial fitting method, fitting a baseline, and subtracting the fitting signal from the original signal to obtain a signal without the baseline;
s3, alternating current and direct current separation, wherein a direct current component in the bilirubin concentration detection optical signal is extracted by adopting an averaging method, namely, the average value of the signals is obtained, and the direct current component is obtained;
s4, removing the ambient light interference, and subtracting the ambient light interference from the measured signal;
s5, data processing, namely performing difference processing on the bilirubin concentration detection optical signals to obtain a bilirubin concentration characteristic value W;
s6, performing multiple linear regression analysis, performing polynomial fitting with the reference bilirubin value according to a formula to obtain bilirubin concentration C,
wherein epsilon is bilirubin molar absorption coefficient, L is optical path length, and epsilon and L are both constants.
4. The wearable neonatal jaundice and blood oxygen real-time wireless monitoring device of claim 1, wherein: after receiving the oxyhemoglobin saturation detection optical signal, the upper computer calculates to obtain the oxyhemoglobin saturation, wherein the calculation method comprises the following steps:
s1, firstly, performing moving average filtering on the blood oxygen saturation detection optical signal;
s2, calculating the maximum value and the minimum value of the blood oxygen saturation detection optical signal after the moving average filtering by adopting a difference threshold value method;
s3, calculating the characteristic value R of the blood oxygen saturation through a formula,
wherein I irmax Detecting the peak value of the optical signal for the saturation of blood oxygen reflected back by the infrared light, I irmin Detection of the valley of the optical signal for the saturation of blood oxygen reflected back by the infrared light, I redmax Is reflected back as red lightThe blood oxygen saturation of (1) detects the peak value of the optical signal, I redmin Detecting the valley value of the optical signal for the blood oxygen saturation reflected by the red light, wherein R is the characteristic value of the blood oxygen saturation;
s4, obtaining the blood oxygen saturation according to a formula,
SPO2＝(A×R-B)×100％
where A, B is a constant and SPO2 is the oxygen saturation.
5. The wearable neonatal jaundice and blood oxygen real-time wireless monitoring device of claim 1, wherein: still include through the red light source reflection signal among the blood oxygen saturation detection optical signal that the host computer received and carry out heart rate calculation, its computational formula is:
wherein peak is i The abscissa of the peak value of n periods in the period is shown, num represents the average value of the number of samples between two adjacent peaks, and Ts represents the sampling interval.
6. The wearable neonatal jaundice and blood oxygen real-time wireless monitoring device of claim 1, wherein: the wavelength of the blue light is 460nm, the wavelength of the green light is 550nm, the wavelength of the red light is 660nm, and the wavelength of the infrared light is 880 nm.
7. The wearable neonatal jaundice and blood oxygen real-time wireless monitoring device of claim 1, wherein: the frequency of the alternate flashing of the blue light and the green light is 200 Hz.
8. The wearable neonatal jaundice and blood oxygen real-time wireless monitoring device of claim 1, wherein: the upper computer is a computer or a mobile phone.
9. The wearable neonatal jaundice and blood oxygen real-time wireless monitoring device of claim 1, wherein: the coin-operated vehicle is characterized by further comprising a power supply module, wherein the power supply module comprises two coin batteries and is used for supplying power to the LED light source, the photodiode, the photoelectric driving module, the signal processing module, the control module and the Bluetooth module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210753264.9A CN115089172A (en) | 2022-06-28 | 2022-06-28 | Wearable jaundice of neonate and real-time wireless monitoring devices of blood oxygen |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210753264.9A CN115089172A (en) | 2022-06-28 | 2022-06-28 | Wearable jaundice of neonate and real-time wireless monitoring devices of blood oxygen |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115089172A true CN115089172A (en) | 2022-09-23 |
Family
ID=83294070
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210753264.9A Pending CN115089172A (en) | 2022-06-28 | 2022-06-28 | Wearable jaundice of neonate and real-time wireless monitoring devices of blood oxygen |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115089172A (en) |
-
2022
- 2022-06-28 CN CN202210753264.9A patent/CN115089172A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107157492B (en) | Embedded human physiological information noninvasive detection system and data processing method | |
| EP0335357B1 (en) | Improved method and apparatus for detecting optical pulses | |
| US20160022223A1 (en) | Multi-modal depth-resolved tissue status monitor | |
| KR101964025B1 (en) | Non-invasive blood glucose meter | |
| CN110338813B (en) | Noninvasive blood glucose detection method based on spectrum analysis | |
| KR20100065084A (en) | Apparatus for measuring motion noise robust pulse wave and method thereof | |
| JP2000060826A (en) | Noninvasive vital component measuring instrument | |
| CN103263271A (en) | Non-contact automatic blood oxygen saturation degree measurement system and measurement method | |
| CN111683597A (en) | System and method for non-invasively monitoring hemoglobin | |
| CN102579053A (en) | Reflective pulse blood oxygen detecting method based on diffusion theory | |
| CN115500800A (en) | Wearable physiological parameter detection system | |
| CN111481190A (en) | Robust heart rate measurement method and device based on two-path PPG signal | |
| WO2019141869A1 (en) | Optical response measurement from skin and tissue using spectroscopy. | |
| EP3292813A1 (en) | Method and device for processing bio-signals | |
| Xie et al. | Development of wearable pulse oximeter based on internet of things and signal processing techniques | |
| CN108324286B (en) | Infrared noninvasive blood glucose detection device based on PCA-NARX correction algorithm | |
| Cai et al. | Implementation of a wireless pulse oximeter based on wrist band sensor | |
| CN114403904B (en) | Device for determining muscle state based on electromyographic signals and muscle blood oxygen saturation | |
| Elagha et al. | Design a non-invasive pulse oximeter device based on PIC microcontroller | |
| CN111698943A (en) | Systems and methods for non-invasively monitoring hematocrit concentration | |
| CN210228129U (en) | Sleep apnea hypopnea syndrome detection device | |
| US20140187884A1 (en) | Systems and methods for ensemble averaging in pulse oximetry | |
| CN115089172A (en) | Wearable jaundice of neonate and real-time wireless monitoring devices of blood oxygen | |
| US20240023844A1 (en) | Infant blood oxygen saturation monitoring method and intelligent monitoring device | |
| CN105816186A (en) | Noninvasive type automated hand-held blood analyzer |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |